Abstract
The Tecnologico de Monterrey has implemented the Tec21 Educational Model, based on four fundamental pillars: Challenge-based learning (CBL), Flexibility, inspiring trained teachers and a comprehensive educational experience that makes it memorable. To be successful, there must be flexibility in curricular programs, which requires that instruction take place in settings within and outside the boundaries of the university campus. Our project was based on the design, development and implementation of a university-industry collaboration in CBL experiences, with Sustainable Development Engineering students in a week exercise called i-week, where students were subjected to the Energy Management in Intelligent Electric Networks challenge in conjunction with an external training partner. Our results indicate that students gain more knowledge using CBL, however, teachers require an appropriate training program and a prior design of the competency assessment instruments. The role of training partners is essential to increase the degree of uncertainty of the challenges that are to be solved in the development of this ambitious program promoted by CBL. Finally, it is clear that every semester a comprehensive evaluation of the application of this model must be made to adapt it to the circumstances of the world’s educational reality. We propose a series of evaluation instruments to determine the development of competencies that can be used for other CBL experiences.
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Acknowledgements
The authors would like to acknowledge the financial and technical support of Writing Lab, TecLabs, Tecnologico de Monterrey, Mexico, in the production of this work. The authors acknowledge the NOVUS Programs grants with PEP no. PHHT032- 192200006-05-001 and PEP no. PHHT090-19ZZ00008 in support of this work.
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Caratozzolo, P., Membrillo-Hernández, J. (2021). Evaluation of Challenge Based Learning Experiences in Engineering Programs: The Case of the Tecnologico de Monterrey, Mexico. In: Auer, M.E., Centea, D. (eds) Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems and Computing, vol 1314. Springer, Cham. https://doi.org/10.1007/978-3-030-67209-6_45
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